Information Systems In The Big Data Era

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Information Systems in the Big Data Era

Author : Jan Mendling,Haralambos Mouratidis
Publisher : Springer
Page : 280 pages
File Size : 54,6 Mb
Release : 2018-06-06
Category : Computers
ISBN : 9783319929019

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Information Systems in the Big Data Era by Jan Mendling,Haralambos Mouratidis Pdf

This book constitutes the thoroughly refereed proceedings of the CAiSE Forum 2018 held in Tallinn, Estonia, as part of the 30th International Conference on Advanced Information Systems Engineering, CAiSE 2018, in June 2018. The CAiSE Forum is a place within the CAiSE conference for presenting and discussing new ideas and tools related to information systems engineering. Intended to serve as an interactive platform, the Forum aims at the presentation of emerging new topics and controversial positions, as well as demonstration of innovative systems, tools and applications. This year’s theme was “Information Systems in the Big Data Era”. The 10 full and 12 short papers in this volume were carefully reviewed and selected from 17 direct submissions (of which 2 full and 7 short papers were selected), plus 13 transfers from the CAiSE main conference (which resulted in another 8 full and 5 short papers).

Information Systems Management in the Big Data Era

Author : Peter Lake,Robert Drake
Publisher : Springer
Page : 293 pages
File Size : 52,5 Mb
Release : 2015-01-12
Category : Business & Economics
ISBN : 9783319135038

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Information Systems Management in the Big Data Era by Peter Lake,Robert Drake Pdf

This timely text/reference explores the business and technical issues involved in the management of information systems in the era of big data and beyond. Topics and features: presents review questions and discussion topics in each chapter for classroom group work and individual research assignments; discusses the potential use of a variety of big data tools and techniques in a business environment, explaining how these can fit within an information systems strategy; reviews existing theories and practices in information systems, and explores their continued relevance in the era of big data; describes the key technologies involved in information systems in general and big data in particular, placing these technologies in an historic context; suggests areas for further research in this fast moving domain; equips readers with an understanding of the important aspects of a data scientist’s job; provides hands-on experience to further assist in the understanding of the technologies involved.

Ambidextrous Organizations in the Big Data Era

Author : Riccardo Rialti,Giacomo Marzi
Publisher : Springer Nature
Page : 105 pages
File Size : 43,9 Mb
Release : 2019-12-19
Category : Business & Economics
ISBN : 9783030365844

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Ambidextrous Organizations in the Big Data Era by Riccardo Rialti,Giacomo Marzi Pdf

Addressing the effect of big data analytics-capable information systems on organizational ambidexterity, this book investigates how these systems can be used to enhance organizational agility and flexibility, generally considered to be two key determinants of organizational ambidexterity. With a focus on the opportunities for businesses rather than the burden that big data can represent, the authors highlight the impact of big data on ambidextrous organizations and how current organizational structures can be modified in order to improve big data analytics and implement big data-capable information systems.

Industrial Engineering in the Big Data Era

Author : Fethi Calisir,Emre Cevikcan,Hatice Camgoz Akdag
Publisher : Springer
Page : 513 pages
File Size : 52,5 Mb
Release : 2019-01-23
Category : Technology & Engineering
ISBN : 9783030033170

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Industrial Engineering in the Big Data Era by Fethi Calisir,Emre Cevikcan,Hatice Camgoz Akdag Pdf

This book gathers extended versions of the best papers presented at the Global Joint Conference on Industrial Engineering and Its Application Areas (GJCIE), held in Nevsehir, Turkey, on June 21-22, 2018. They reports on industrial engineering methods and applications, with a special focus on the advantages and challenges posed by Big data in this field. The book covers a wide range of topics, including decision making, optimization, supply chain management and quality control.

Management in the Era of Big Data

Author : Joanna Paliszkiewicz
Publisher : CRC Press
Page : 246 pages
File Size : 52,9 Mb
Release : 2020-06-18
Category : Business & Economics
ISBN : 9781000093674

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Management in the Era of Big Data by Joanna Paliszkiewicz Pdf

This book is a wonderful collection of chapters that posits how managers need to cope in the Big Data era. It highlights many of the emerging developments in technologies, applications, and trends related to management’s needs in this Big Data era. —Dr. Jay Liebowitz, Harrisburg University of Science and Technology This book presents some meaningful work on Big Data analytics and its applications. Each chapter generates helpful guidance to the readers on Big Data analytics and its applications, challenges, and prospects that is necessary for organizational strategic direction. —Dr. Alex Koohang, Middle Georgia State University Big Data is a concept that has caught the attention of practitioners, academicians, and researchers. Big Data offers organizations the possibility of gaining a competitive advantage by managing, collecting, and analyzing massive amounts of data. As the promises and challenges posed by Big Data have increased over the past decade, significant issues have developed regarding how data can be used for improving management. Big Data can be understood as large amounts of data generated by the Internet and a variety of connected smart devices and sensors. This book discusses the main challenges posed by Big Data in a manner relevant to both practitioners and scholars. It examines how companies can leverage Big Data analytics to act and optimize the business. This book brings together the theory and practice of management in the era of Big Data. It offers a look at the current state of Big Data, including a comprehensive overview of both research and practical applications. By bringing together conceptual thinking and empirical research on the nature, meaning, and development of Big Data in management, this book unifies research on Big Data in management to stimulate new directions for academic investigation as well as practice.

Advanced Information Systems Engineering

Author : John Krogstie,Hajo A. Reijers
Publisher : Springer
Page : 630 pages
File Size : 54,8 Mb
Release : 2018-06-04
Category : Computers
ISBN : 9783319915630

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Advanced Information Systems Engineering by John Krogstie,Hajo A. Reijers Pdf

This book constitutes the refereed proceedings of the 30th International Conference on Advanced Information Systems Engineering, CAiSE 2018, held in Talinn, Estonia, in June 2018. The 37 papers presented in this volume were carefully reviewed and selected from 175 submissions. The papers are organized in topical sections on Process Execution, User-Oriented IS Development, Social Computing and Personalization, the Cloud and Data Services, Process Discovery, Decisions and the Blockchain, Process and Multi-level Modelling, Data Management and Visualization, Big Data and Intelligence, Data Modelling and Mining, Quality Requirements and Software, and Tutorials.

Strategic Data-Based Wisdom in the Big Data Era

Author : Girard, John
Publisher : IGI Global
Page : 312 pages
File Size : 44,8 Mb
Release : 2015-02-28
Category : Business & Economics
ISBN : 9781466681231

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Strategic Data-Based Wisdom in the Big Data Era by Girard, John Pdf

The ability to uncover, share, and utilize knowledge is one of the most vital components to the success of any organization. While new technologies and techniques of knowledge dissemination are promising, there is still a struggle to derive and circulate meaningful information from large data sets. Strategic Data-Based Wisdom in the Big Data Era combines the latest empirical research findings, best practices, and applicable theoretical frameworks surrounding data analytics and knowledge acquisition. Providing a multi-disciplinary perspective of the subject area, this book is an essential reference source for professionals and researchers working in the field of knowledge management who would like to improve their understanding of the strategic role of data-based wisdom in different types of work communities and environments.

Application of Intelligent Systems in Multi-modal Information Analytics

Author : Vijayan Sugumaran,Zheng Xu,Huiyu Zhou
Publisher : Springer Nature
Page : 955 pages
File Size : 49,5 Mb
Release : 2021-04-20
Category : Technology & Engineering
ISBN : 9783030748111

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Application of Intelligent Systems in Multi-modal Information Analytics by Vijayan Sugumaran,Zheng Xu,Huiyu Zhou Pdf

This book provides comprehensive coverage of the latest advances and trends in information technology, science and engineering. Specifically, it addresses a number of broad themes, including multi-modal informatics, data mining, agent-based and multi-agent systems for health and education informatics, which inspire the development of intelligent information technologies. The contributions cover a wide range of topics such as AI applications and innovations in health and education informatics; data and knowledge management; multi-modal application management; and web/social media mining for multi-modal informatics. Outlining promising future research directions, the book is a valuable resource for students, researchers and professionals, and a useful reference guide for newcomers to the field. This book is a compilation of the papers presented in the 2021 International Conference on Multi-modal Information Analytics, held in Huhehaote, China, on April 23–24, 2021.

Information Systems and Computing Technology

Author : Lei Zhang,Yonggen Gu
Publisher : CRC Press
Page : 182 pages
File Size : 51,9 Mb
Release : 2013-08-21
Category : Computers
ISBN : 9781138001152

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Information Systems and Computing Technology by Lei Zhang,Yonggen Gu Pdf

Information systems are complex, including data collecting, storing, processing and delivering. The main components of information systems are computer hardware and software, telecommunications, databases and data warehouses, human resources, and procedures. With the development of information systems, the innovation technologies and their applications continuously appear, such as the Internet of Things (IOT), cloud computing, big data and smart cities. Information Systems and Computing Technology contains 23 technical papers from the International Conference on Information Systems and Computing Technology (ISCT 2013, Wuxi, China, 15-16 September 2013). The book reviews recent advances in information systems and computing technology.

Optimization and Control for Systems in the Big-Data Era

Author : Tsan-Ming Choi,Jianjun Gao,James H. Lambert,Chi-Kong Ng,Jun Wang
Publisher : Springer
Page : 280 pages
File Size : 48,6 Mb
Release : 2017-05-04
Category : Business & Economics
ISBN : 9783319535180

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Optimization and Control for Systems in the Big-Data Era by Tsan-Ming Choi,Jianjun Gao,James H. Lambert,Chi-Kong Ng,Jun Wang Pdf

This book focuses on optimal control and systems engineering in the big data era. It examines the scientific innovations in optimization, control and resilience management that can be applied to further success. In both business operations and engineering applications, there are huge amounts of data that can overwhelm computing resources of large-scale systems. This “big data” provides new opportunities to improve decision making and addresses risk for individuals as well in organizations. While utilizing data smartly can enhance decision making, how to use and incorporate data into the decision making framework remains a challenging topic. Ultimately the chapters in this book present new models and frameworks to help overcome this obstacle. Optimization and Control for Systems in the Big-Data Era: Theory and Applications is divided into five parts. Part I offers reviews on optimization and control theories, and Part II examines the optimization and control applications. Part III provides novel insights and new findings in the area of financial optimization analysis. The chapters in Part IV deal with operations analysis, covering flow-shop operations and quick response systems. The book concludes with final remarks and a look to the future of big data related optimization and control problems.

Supply Chain Management in the Big Data Era

Author : Chan, Hing Kai,Subramanian, Nachiappan,Abdulrahman, Muhammad Dan-Asabe
Publisher : IGI Global
Page : 299 pages
File Size : 55,7 Mb
Release : 2016-11-04
Category : Business & Economics
ISBN : 9781522509578

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Supply Chain Management in the Big Data Era by Chan, Hing Kai,Subramanian, Nachiappan,Abdulrahman, Muhammad Dan-Asabe Pdf

Technological advancements in recent years have led to significant developments within a variety of business applications. In particular, data-driven research provides ample opportunity for enterprise growth, if utilized efficiently. Supply Chain Management in the Big Data Era is an authoritative reference source for the latest scholarly material on the implementation of big data analytics for improved operations and supply chain processes. Highlighting emerging strategies from different industry perspectives, this book is ideally designed for managers, professionals, practitioners, and students interested in the most recent research on supply chain innovations.

Management Decision-Making, Big Data and Analytics

Author : Simone Gressel,David J. Pauleen,Nazim Taskin
Publisher : SAGE
Page : 354 pages
File Size : 42,9 Mb
Release : 2020-10-12
Category : Business & Economics
ISBN : 9781529738285

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Management Decision-Making, Big Data and Analytics by Simone Gressel,David J. Pauleen,Nazim Taskin Pdf

Accessible and concise, this exciting new textbook examines data analytics from a managerial and organizational perspective and looks at how they can help managers become more effective decision-makers. The book successfully combines theory with practical application, featuring case studies, examples and a ‘critical incidents’ feature that make these topics engaging and relevant for students of business and management. The book features chapters on cutting-edge topics, including: • Big data • Analytics • Managing emerging technologies and decision-making • Managing the ethics, security, privacy and legal aspects of data-driven decision-making The book is accompanied by an Instructor’s Manual, PowerPoint slides and access to journal articles. Suitable for management students studying business analytics and decision-making at undergraduate, postgraduate and MBA levels.

Data and Information in Online Environments

Author : Edgar Bisset Álvarez
Publisher : Springer Nature
Page : 479 pages
File Size : 53,6 Mb
Release : 2021-06-14
Category : Computers
ISBN : 9783030774172

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Data and Information in Online Environments by Edgar Bisset Álvarez Pdf

This book constitutes the refereed post-conference proceedings of the Second International Conference on Data Information in Online Environments, DIONE 2021, which took place in March 2021. Due to COVID-19 pandemic the conference was held virtually. DIONE 2021 presents theoretical proposals and practical solutions in the treatment, processing and study of data and information produced in online environments, the latest trends in the analysis of network information, media metrics social, data processing technologies and open science. The 40 revised full papers were carefully reviewed and selected from 86 submissions. The papers are grouped in thematical sessions on evaluation of science in social networking environment; scholarly publishing and online communication; and education in online environments.

Encyclopedia of Information Systems and Technology - Two Volume Set

Author : Phillip A. Laplante
Publisher : CRC Press
Page : 1307 pages
File Size : 54,8 Mb
Release : 2015-12-29
Category : Computers
ISBN : 9781000031744

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Encyclopedia of Information Systems and Technology - Two Volume Set by Phillip A. Laplante Pdf

Spanning the multi-disciplinary scope of information technology, the Encyclopedia of Information Systems and Technology draws together comprehensive coverage of the inter-related aspects of information systems and technology. The topics covered in this encyclopedia encompass internationally recognized bodies of knowledge, including those of The IT BOK, the Chartered Information Technology Professionals Program, the International IT Professional Practice Program (British Computer Society), the Core Body of Knowledge for IT Professionals (Australian Computer Society), the International Computer Driving License Foundation (European Computer Driving License Foundation), and the Guide to the Software Engineering Body of Knowledge. Using the universally recognized definitions of IT and information systems from these recognized bodies of knowledge, the encyclopedia brings together the information that students, practicing professionals, researchers, and academicians need to keep their knowledge up to date. Also Available Online This Taylor & Francis encyclopedia is also available through online subscription, offering a variety of extra benefits for researchers, students, and librarians, including:  Citation tracking and alerts  Active reference linking  Saved searches and marked lists  HTML and PDF format options Contact Taylor and Francis for more information or to inquire about subscription options and print/online combination packages. US: (Tel) 1.888.318.2367; (E-mail) [email protected] International: (Tel) +44 (0) 20 7017 6062; (E-mail) [email protected]

Big Data Analytics for Cyber-Physical System in Smart City

Author : Mohammed Atiquzzaman,Neil Yen,Zheng Xu
Publisher : Springer Nature
Page : 2049 pages
File Size : 52,6 Mb
Release : 2020-01-11
Category : Technology & Engineering
ISBN : 9789811525681

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Big Data Analytics for Cyber-Physical System in Smart City by Mohammed Atiquzzaman,Neil Yen,Zheng Xu Pdf

This book gathers a selection of peer-reviewed papers presented at the first Big Data Analytics for Cyber-Physical System in Smart City (BDCPS 2019) conference, held in Shengyang, China, on 28–29 December 2019. The contributions, prepared by an international team of scientists and engineers, cover the latest advances made in the field of machine learning, and big data analytics methods and approaches for the data-driven co-design of communication, computing, and control for smart cities. Given its scope, it offers a valuable resource for all researchers and professionals interested in big data, smart cities, and cyber-physical systems.